Defined in tensorflow/_api/v1/nn/rnn_cell/__init__.py
.
Module for constructing RNN Cells.
Classes
class BasicLSTMCell
: DEPRECATED: Please use tf.nn.rnn_cell.LSTMCell
instead.
class BasicRNNCell
: The most basic RNN cell.
class DeviceWrapper
: Operator that ensures an RNNCell runs on a particular device.
class DropoutWrapper
: Operator adding dropout to inputs and outputs of the given cell.
class GRUCell
: Gated Recurrent Unit cell (cf. http://arxiv.org/abs/1406.1078).
class LSTMCell
: Long short-term memory unit (LSTM) recurrent network cell.
class LSTMStateTuple
: Tuple used by LSTM Cells for state_size
, zero_state
, and output state.
class MultiRNNCell
: RNN cell composed sequentially of multiple simple cells.
class RNNCell
: Abstract object representing an RNN cell.
class ResidualWrapper
: RNNCell wrapper that ensures cell inputs are added to the outputs.